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Deciphering genotype-by-environment interaction in barley genotypes using different adaptability and stability methods

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Abstract

Dissection of genotype-by-environment interaction (GEI) effects has a key role in identifying stable high-yielding genotypes across various environments before commercial release. This study sought to assess the GEI effect and to identify superior barley genotypes using 32 parametric and non-parametric stability statistics. Eighteen new promising genotypes along with one improved cultivar (as check) were evaluated across ten environments during the 2019–2021 cropping seasons in the warm climate of Iran. The AMMI analysis of variance indicated that genotype, environment, and GEI effects were significant for grain yield. Furthermore, partitioning of the GEI effect showed that the first six interaction principal components (IPCA1–IPCA6) were highly significant. Multivariate analyses classified all measured statistics into five groups based on the dynamic and static concepts of stability. Among the stability statistics, HMGV, RPGV, HMRPGV, CV, NP(2), NP(3), NP(4), KR, S(3), and S(6) showed a dynamic concept of stability. Based on all methods, genotypes G2, G3, G9, G11, G14, and G17 were identified as stable high-yielding genotypes. In general, based on all of the used approaches, G9 and G11 were identified as the best genotypes for cultivation in the warm regions of Iran; hence, these genotypes can be considered for commercial release.

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The data in this manuscript are available from the corresponding author upon reasonable request.

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Acknowledgements

The authors acknowledge lab facilities support (No. 0-03-03-109-980628) from the Seed and Plant Improvement Institute (SPII), Agricultural Research, Education and Extension Organization (AREEO), Iran. Moreover, we are grateful to Dr. Peter Poczai from the Botany Unit, Finnish Museum of Natural History, University of Helsinki, for his fruitful comments and improve the language of the manuscript.

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Authors and Affiliations

  1. Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

    Alireza Pour-Aboughadareh & Ali Barati

  2. Crop and Horticultural Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, Iran

    Ahmad Gholipoor

  3. Crop and Horticultural Science Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Darab, Iran

    Hassan Zali

  4. Crop and Horticultural Science Research Department, Ahvaz Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ahvaz, Iran

    Akbar Marzooghian

  5. Horticulture Crops Research Department, Sistan Agricultural and Natural Resources Research and Education Center (AREEO), Zabol, Iran

    Shir Ali Koohkan

  6. Crop and Horticultural Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran

    Kamal Shahbazi-Homonloo & Arash Houseinpour

Authors
  1. Alireza Pour-Aboughadareh
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  2. Ali Barati
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  3. Ahmad Gholipoor
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  4. Hassan Zali
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  6. Shir Ali Koohkan
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  7. Kamal Shahbazi-Homonloo
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  8. Arash Houseinpour
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Correspondence to Alireza Pour-Aboughadareh.

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Pour-Aboughadareh, A., Barati, A., Gholipoor, A. et al. Deciphering genotype-by-environment interaction in barley genotypes using different adaptability and stability methods. J. Crop Sci. Biotechnol. 26, 547–562 (2023). https://doi.org/10.1007/s12892-023-00199-z

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